02892 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 02892 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 2,285, 100% | 501,177 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,961, 85.82%, see rank | 80.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 160, 7.00%, see rank | 8.15% | 9.59% |
| Public Transportation | 4, 0.18%, see rank | 2.87% | 5.06% |
| Walked | 34, 1.49%, see rank | 3.74% | 2.78% |
| Other Means | 36, 1.58%, see rank | 1.58% | 1.79% |
| Worked at Home | 90, 3.94%, see rank | 3.48% | 4.37% |
Mean Travel Time to Work, see rank| 02892 Zip Code | 28.1 minutes |
| Rhode Island | 23.7 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 02892 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 2,108, 100% | 500,642 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,785, 84.68%, see rank | 80.02% | 76.14% |
| Car, Truck, or Van—Carpooled | 152, 7.21%, see rank | 8.53% | 10.03% |
| Public Transportation | 4, 0.19%, see rank | 2.91% | 4.98% |
| Walked | 32, 1.52%, see rank | 3.55% | 2.82% |
| Other Means | 4, 0.19%, see rank | 1.50% | 1.76% |
| Worked at Home | 131, 6.21%, see rank | 3.49% | 4.27% |
Mean Travel Time to Work, see rank| 02892 Zip Code | 28.2 minutes |
| Rhode Island | 23.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 02892 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 2,168, 100% | 490,905 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,912, 88.19%, see rank | 80.12% | 75.70% |
| Car, Truck, or Van—Carpooled | 114, 5.26%, see rank | 10.39% | 12.19% |
| Public Transportation | 10, 0.46%, see rank | 2.48% | 4.73% |
| Walked | 14, 0.65%, see rank | 3.81% | 2.93% |
| Other Means | 10, 0.46%, see rank | 0.95% | 1.19% |
| Worked at Home | 108, 4.98%, see rank | 2.24% | 3.26% |
Mean Travel Time to Work, see rank| 02892 Zip Code | 26.5 minutes |
| Rhode Island | 22.1 minutes |
| U.S. | 25.1 minutes |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.
